Objective The authors' goal was to develop and evaluate machine-learning-based
approaches to extracting clinical entities—including medical problems, tests, and treatments …

The authors organized a Natural Language Processing (NLP) challenge on automatically
determining the smoking status of patients from information found in their discharge records …

In this paper we describe an application called peFinder for document-level classification of
CT pulmonary angiography reports. peFinder is based on a generalized version of the …

Objectives To create an advanced image retrieval and data-mining system based on in-
house radiology reports. Methods Radiology reports are semantically analysed using …

Radiology reports contain information that can be mined using a search engine for teaching,
research, and quality assurance purposes. Current search engines look for exact matches to …

Mining negations from electronic narrative medical documents is one of the prominent data
mining applications. Since medical documents are freely written, it is impossible to consider …

RATIONALE AND OBJECTIVE: We sought to develop a Bayesian-filter that could distinguish
positive radiology computed tomography (CT) reports of appendicitis from negative reports …

Materials and Methods Standard unstructured electronic text radiology reports containing
the key word appendicitis were obtained using a Java-based text search engine from a …

There have been few studies of large corpora of narrative notes collected from the health
clinicians working at the point of care. This chapter describes the principle issues in …

Radiology Information Systems (RIS) contain a wealth of information that can be used for
research, education, and practice management. However, the sheer amount of information …